{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "google",
   "metadata": {},
   "source": [
    "##### Copyright 2023 Google LLC."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "apache",
   "metadata": {},
   "source": [
    "Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "you may not use this file except in compliance with the License.\n",
    "You may obtain a copy of the License at\n",
    "\n",
    "    http://www.apache.org/licenses/LICENSE-2.0\n",
    "\n",
    "Unless required by applicable law or agreed to in writing, software\n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "See the License for the specific language governing permissions and\n",
    "limitations under the License.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "basename",
   "metadata": {},
   "source": [
    "# integer_programming_example"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "link",
   "metadata": {},
   "source": [
    "<table align=\"left\">\n",
    "<td>\n",
    "<a href=\"https://colab.research.google.com/github/google/or-tools/blob/main/examples/notebook/linear_solver/integer_programming_example.ipynb\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/colab_32px.png\"/>Run in Google Colab</a>\n",
    "</td>\n",
    "<td>\n",
    "<a href=\"https://github.com/google/or-tools/blob/main/ortools/linear_solver/samples/integer_programming_example.py\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/github_32px.png\"/>View source on GitHub</a>\n",
    "</td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "doc",
   "metadata": {},
   "source": [
    "First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "install",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install ortools"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "description",
   "metadata": {},
   "source": [
    "\n",
    "Small example to illustrate solving a MIP problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "code",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ortools.linear_solver import pywraplp\n",
    "\n",
    "\n",
    "def IntegerProgrammingExample():\n",
    "    \"\"\"Integer programming sample.\"\"\"\n",
    "    # Create the mip solver with the SCIP backend.\n",
    "    solver = pywraplp.Solver.CreateSolver(\"SCIP\")\n",
    "    if not solver:\n",
    "        return\n",
    "\n",
    "    # x, y, and z are non-negative integer variables.\n",
    "    x = solver.IntVar(0.0, solver.infinity(), \"x\")\n",
    "    y = solver.IntVar(0.0, solver.infinity(), \"y\")\n",
    "    z = solver.IntVar(0.0, solver.infinity(), \"z\")\n",
    "\n",
    "    print(\"Number of variables =\", solver.NumVariables())\n",
    "\n",
    "    # 2*x + 7*y + 3*z <= 50\n",
    "    constraint0 = solver.Constraint(-solver.infinity(), 50)\n",
    "    constraint0.SetCoefficient(x, 2)\n",
    "    constraint0.SetCoefficient(y, 7)\n",
    "    constraint0.SetCoefficient(z, 3)\n",
    "\n",
    "    # 3*x - 5*y + 7*z <= 45\n",
    "    constraint1 = solver.Constraint(-solver.infinity(), 45)\n",
    "    constraint1.SetCoefficient(x, 3)\n",
    "    constraint1.SetCoefficient(y, -5)\n",
    "    constraint1.SetCoefficient(z, 7)\n",
    "\n",
    "    # 5*x + 2*y - 6*z <= 37\n",
    "    constraint2 = solver.Constraint(-solver.infinity(), 37)\n",
    "    constraint2.SetCoefficient(x, 5)\n",
    "    constraint2.SetCoefficient(y, 2)\n",
    "    constraint2.SetCoefficient(z, -6)\n",
    "\n",
    "    print(\"Number of constraints =\", solver.NumConstraints())\n",
    "\n",
    "    # Maximize 2*x + 2*y + 3*z\n",
    "    objective = solver.Objective()\n",
    "    objective.SetCoefficient(x, 2)\n",
    "    objective.SetCoefficient(y, 2)\n",
    "    objective.SetCoefficient(z, 3)\n",
    "    objective.SetMaximization()\n",
    "\n",
    "    # Solve the problem.\n",
    "    print(f\"Solving with {solver.SolverVersion()}\")\n",
    "    status = solver.Solve()\n",
    "\n",
    "    # Print the solution.\n",
    "    if status == pywraplp.Solver.OPTIMAL:\n",
    "        print(\"Solution:\")\n",
    "        print(f\"Objective value = {solver.Objective().Value()}\")\n",
    "        # Print the value of each variable in the solution.\n",
    "        for variable in [x, y, z]:\n",
    "            print(f\"{variable.name()} = {variable.solution_value()}\")\n",
    "    else:\n",
    "        print(\"The problem does not have an optimal solution.\")\n",
    "\n",
    "    print(\"\\nAdvanced usage:\")\n",
    "    print(f\"Problem solved in {solver.wall_time():d} milliseconds\")\n",
    "    print(f\"Problem solved in {solver.iterations():d} iterations\")\n",
    "\n",
    "\n",
    "IntegerProgrammingExample()\n",
    "\n"
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 5
}
